The authors use the non-parametric Data Envelopment Analysis (DEA) and the parametric
Stochastic Frontier Analysis (SFA) to workout efficiency and productivity of the ICT
sector across 50 countries for the time period 2016 and 2020. By considering OECD -
DSTRI index as bad output, the study intends to estimate the influence of digital trade
regulations (or digital services trade restrictiveness) on productivity and efficiency of
the ICT sector across countries. The SFA scores are compared with the DEA efficiency
scores and Malmquist Index based on four DEA problems are used to work out the
total factor productivity of the ICT sector across countries and over two time periods.
Cross country regression is run to understand the impact of ICT efficiency and
productivity on average annual growth rate of GDP per-capita among other control
factors. The authors use network readiness index of the World Economic Forum along with
OECD-DSTRI index as our database. Broadly, our results are three-fold. Firstly, the authors
find that trade restrictiveness has very little to do with technical efficiency based on
SFA frontier analysis. Secondly, the authors find no statistical difference in the technical
efficiency scores of high and middle-income countries based on DEA analysis. The author also found evidence of Asian countries faring better than the European Union countries in
context of technical efficiencies. Thirdly, from our empirical results it seems that
adoption of ICT and the so-called disruptive 4IR technologies have replaced labour
and henceforth, the author hypothesize that higher unemployment leads to higher growth rate along with a positive impact of network readiness on the growth rates. It seems that
net neutrality and addressing pernicious regulations related to the ICT sector - barrier
to competition, among others like foreign entry, mobility of people, regulatory
transparency across countries can improve the productivity and efficiency of the ICT
sector.